A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Moreira, R (Autor) Outra; Magalhaes, A (Autor) Outra; Oliveira, HP (Autor) FEUP

Ata de Conferência Internacional

Título: PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015)

Páginas: 228-236

7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Santiago de Compostela, SPAIN, JUN 17-19, 2015

Indexação

ISI Web of Knowledge - 6 Citações

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-00G-EFY

DOI: 10.1007/978-3-319-19390-8_26

Abstract (EN): Common breast cancer treatments, as the removal of axillary lymph nodes, cause severe impairments in women's upper-body function. As a result, several daily activities are affected which contributes to a decreased QOL. Thus, the assessment of functional restrictions after treatment is essential to avoid further complications. This paper presents a pioneer work, which aims to develop an upper-body function evaluation method, traduced by the identification of lymphedema. Using the Kinect, features of the upper-limbs motion are extracted and supervised learning algorithms are used to construct a predictive classification model. Very promising results are obtained, with high classification accuracy.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9